🤖 Building a Telegram bot with Apache Kafka, Go, and ksqlDB

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🤖Building a Telegram bot with Apache Kafka, Go, and ksqlDB Robin Moffatt @rmoff

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Where’s my nearest carpark with available spaces?

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How many spaces are available in this car park?

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💡Tell me when a car park with spaces is available

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📈How does occupancy vary over time?

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$ whoami > Robin Moffatt (@rmoff) > Senior Developer Advocate at Confluent (Apache Kafka, not Wikis 😉) > Working in data & analytics since 2001 > Oracle ACE Director (Alumnus) http://rmoff.dev/talks · http://rmoff.dev/blog · http://rmoff.dev/youtube @rmoff

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Telegram @rmoff

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Don’t just tell me… show me! Demo code: https://rmoff.dev/carparks

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carparks HTTP Kafka @rmoff

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What are the key pieces of the design? @rmoff

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Event Driven Alerts carparks HTTP Kafka @rmoff

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K/V Lookups (materialised views) SELECT SPACES_AVAILABLE How many spaces are free at “ FROM CARPARK WHERE NAME=’WESTGATE’; Westgate carpark right now? ksqlDB ” Kafka CARPARK_EVENTS 42 CREATE TABLE CARPARK AS SELECT LATEST(… GROUP BY NAME “ There are 42 spaces free ” @rmoff

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A schema… carparks HTTP @rmoff

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A schema… 2020-10-14,12:28,Broadway,1132,921 2020-10-14,12:28,Kirkgate Centre,611,474 2020-10-14,12:28,Sharpe Street,98,63 ?! @rmoff

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My kingdom for a schema! 2020-10-14,12:28,Broadway,1132,921 2020-10-14,12:28,Kirkgate Centre,611,474 2020-10-14,12:28,Sharpe Street,98,63 😍 { “ts”: “2020-10-14T12:28 UTC+1”, “name”: “Broadway”, “capacity”: 1132, “empty”: 921 } … @rmoff

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Applying a schema to streams of data source_topic ksqlDB CREATE STREAM mySource (date VARCHAR , time VARCHAR , name VARCHAR , capacity INT ) WITH (KAFKA_TOPIC=’source_topic’, VALUE_FORMAT=’DELIMITED’); Kafka @rmoff

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Applying a schema to streams of data source_topic ksqlDB Kafka derived_topic CREATE STREAM mySource (date VARCHAR , time VARCHAR , name VARCHAR , capacity INT ) WITH (KAFKA_TOPIC=’source_topic’, VALUE_FORMAT=’DELIMITED’); CREATE STREAM myTargetStream WITH (VALUE_FORMAT=’PROTOBUF’, KAFKA_TOPIC=’derived_topic’) AS SELECT * FROM mySource; @rmoff

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Integration carparks HTTP Kafka @rmoff

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Streaming Integration with Kafka Connect syslog Sources Tasks Workers Kafka Connect Kafka Brokers @rmoff

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Streaming Integration with Kafka Connect Amazon S3 Google BigQuery Sinks Tasks Workers Kafka Connect Kafka Brokers @rmoff

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Streaming Integration with Kafka Connect Amazon S3 syslog Google BigQuery Tasks Workers Kafka Connect Kafka Brokers @rmoff

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Streaming Analytics @rmoff

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Why build it this way? @rmoff

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Events @rmoff

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Streams of Events @rmoff

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We want to react to them as they happen @rmoff

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We want to build state from a stream of events @rmoff

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We want to provide the latest data in our analytics @rmoff

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Apache Kafka - an Event Streaming Platform Producer Connectors Consumer The Log Connectors Streaming Engine @rmoff

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Why Kafka? @rmoff

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Distributed, Immutable, Event Log Old New Events are added at the end of the log @rmoff

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Consumers can seek to any point Read to offset & scan Old New @rmoff

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Data is not deleted once read New Old Sally is here Scan @rmoff

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Consumers are independent of each other New Old Fred is here Scan Sally is here Scan @rmoff

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Consumers can be added later Rick is here Scan New Old Fred is here Scan Sally is here Scan @rmoff

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Stream Processing with ksqlDB Source stream @rmoff

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Stream Processing with ksqlDB Source stream @rmoff

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Stream Processing with ksqlDB Source stream @rmoff

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Stream Processing with ksqlDB Source stream Analytics @rmoff

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Stream Processing with ksqlDB Source stream Applications / Microservices @rmoff

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Stream Processing with ksqlDB …SUM(TXN_AMT) GROUP BY AC_ID AC _I D= 42 BA LA NC AC E= _I 94 D= .0 42 0 Source stream Applications / Microservices @rmoff

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Under the covers of ksqlDB Photo by @rmoff on

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Kafka cluster consume produce ksqlDB @rmoff

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JVM Kafka cluster consume produce ksqlDB Kafka Streams RocksDB @rmoff

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k & ^ Kafka Fully Managed as a Service B D l q s

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Running ksqlDB - self-managed DEB, RPM, ZIP, TAR downloads http://confluent.io/download Docker images ksqlDB Server confluentinc/ksqldb-server (JVM process) …and many more… @rmoff

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